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Record W1528210136

New Brunswick: Let’s Not Waste a Crisis

2010· article· fr· W1528210136 on OpenAlex
Donald J. Savoie

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of New Brunswick Studies / Revue d’études sur le Nouveau-Brunswick · 2010
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsStaringLoomingPopulationEconomyPolitical sciencePolitical economyDevelopment economicsEconomic growthEconomicsSociology
DOInot available

Abstract

fetched live from OpenAlex

New Brunswick is staring at a crisis in the making. The crisis is economic in nature but, unless it is addressed with a sense of urgency, it may well make New Brunswick increasingly difficult to govern. The province is confronting a host of economic challenges: a structural deficit, an aging population, uncertainty surrounding federal transfers, sluggish economic growth, a highly competitive global economy, and an inability to attract new Canadians. The paper argues that New Brunswick should not waste a crisis and consider doing things that it could not do before. The paper maintains that the province’s academic community has an important role to play in ensuring that New Brunswick does not waste the looming crisis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.452
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.003
Science and technology studies0.0020.002
Scholarly communication0.0010.003
Open science0.0030.001
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.294
Teacher spread0.252 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it